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Job shop scheduling with unit processing times
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Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms table of contents
Vancouver, British Columbia
SESSION: Session 3B table of contents
Pages: 207 - 214  
Year of Publication: 2005
ISBN:0-89871-585-7
Authors
Nikhil Bansal  IBM T.J. Watson Research Center, Yorktown Heights
Tracy Kimbrel  IBM T.J. Watson Research Center, Yorktown Heights
Maxim Sviridenko  IBM T.J. Watson Research Center, Yorktown Heights
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
: SIAM Activity Group on Discrete Mathematics
Publisher
Society for Industrial and Applied Mathematics  Philadelphia, PA, USA
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ABSTRACT

We consider randomized algorithms for the preemptive job shop problem, or equivalently, the case in which all operations have unit length. We give an α-approximation for the case of two machines where α < 1.45, an improved approximation ratio of O(log m/log log m) for an arbitrary number m of machines, and the first (2+ε)-approximation for a constant number of machines. The first result is via an approximation algorithm for a string matching problem which is of independent interest.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Nikhil Bansal: colleagues
Tracy Kimbrel: colleagues
Maxim Sviridenko: colleagues